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Die Planung umweltfreundlicher Produkte und Produktionsprozesse stellt eine Herausforderung für die industrielle Produktion dar. Eine wichtige ökonomische Fragestellung besteht dabei in der Bestimmung der optimalen Emissionsminderungsstrategie, um die geforderten Emissionsminderungen mit minimalem Einsatz zum geforderten Zeitpunkt einzuhalten, ohne die eigentlichen Betriebsziele zu vernachlässigen. Ziel der Arbeit ist daher die Entwicklung von Lösungsansätzen zur Planung und Steuerung von Produktionssystemen unter Berücksichtigung mehrerer Zielgrößen.
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Die herrschende Komplexität beim Rückbau von massiven Betonstrukturen in kerntechnischen Anlagen erfordert auf Planungsseite eine sorgfältige Auswahl der Rückbauverfahren. Im Rahmen dieser Arbeit wird ein Entscheidungsunterstützungsmodell zur effizienten Verfahrensauswahl vorgestellt, mit dem es unter Berücksichtigung unterschiedlichster Randbedingungen und Anforderungen möglich ist, das wirtschaftlichste bzw. geeigneteste Verfahren oder die optimalste Verfahrenskombination zu finden.
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Die zur techno-ökonomische Analyse von Luftreinhaltestrategien verwendeten Optimiermodelle vernachlässigen in ihrer Zielfunktion die einzelbetriebliche Investitionsentscheidung. Diese stellt jedoch die Grundlage für den Einsatz von Emissionsminderungsmaßnahmen auf Anlagenebene dar. Das beschriebene systemdynamische Modell erlaubt die Analyse der Auswirkungen umweltpolitischer Instrumente auf die betrieblichen Rahmenbedingungen und Kosten und somit auf die erreichbare Emissionsminderung.
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The complexity of today's industrial production networks constitutes a new challenge for industrial risk and safety management. In order to handle potential risks to and emanating from industry and their respective impact on mankind as well as the environment, an integrated approach to industrial risk management is needed, since complex decision situations need to be resolved requiring input from diverse scientific disciplines and the consideration of various often conflicting criteria. Providing the basis for the evaluation of such conflicting criteria and for bringing together existing knowledge from different disciplines, approaches from Multi-Criteria Decision Analysis (MCDA) can be very helpful to resolve the complexity of the occurring decision situations. In order to address the various types of uncertainty, which may arise in a decision making process in industrial risk management, a framework for uncertainty handling is proposed. On the basis of a structured uncertainty classification, methods based on Monte Carlo simulation can be used for a consistent modelling, propagation and visualisation of the different types of uncertainty. Special focus is put on approaches that allow to explicitly illustrate the spread, i.e. the ranges in which the Multi-Attribute Decision Making (MADM) results can vary in consequence of the uncertainties.
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This work presents novel concepts for efficient decision support in reconfiguring software-intensive technical systems with limited maintenance access. In contrast to purely redundancy-oriented approaches, the proposed methodology is based on the predictive pre-calculation of adequate configuration alternatives in the relevant design space. The knowledge about configuration relationships is manifested early and used for the autonomic cost-efficient assessment of configuration alternatives.
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In supplier management social and environmental aspects gain rising importance. The aim of this work is the development of a decision support system. For this purpose a two-stage approach is developed consisting of a risk model and a performance model. This approach enables decision makers both to improve the transparency along the supply chain and to evaluate the sustainability performance of suppliers efficiently.
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A prominent solution to control a company’s internal complexity is a modular product architecture. The implementation of a modular structure comes with high effort and cost. During the application phase these expenditures are compensated. However, a modular structure does not remain stable throughout its lifetime. Decisions on new modules have to be made. Therefore, a new method to support variant decisions on module, module variant and product level has been designed.
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The quality of enterprise software applications plays a crucial role for the satisfaction of the users and the economic success of the enterprises. Software applications with unsatisfying performance and scalability are perceived by its users as low in quality, as less interesting and less attractive, and cause frustration when preventing the users from attaining their goals. This book proposes an approach for a recommendation system that enables developers who are novices in software perform
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A project planning and decision support model is developed and applied to identify and reduce risk and uncertainty in deconstruction project planning. It allows calculating building inventories based on sensor information and construction standards and it computes robust project plans for different scenarios with multiple modes, constrained renewable resources and locations. A reactive and flexible planning element is proposed in the case of schedule infeasibility during project execution.
Projektmanagement unter Unsicherheit --- Robuste Projektplanung --- Entscheidungsunterstützung --- Digitalisierung, Inventarisierung und Rückbau von Gebäuden --- Project management under uncertainty --- robust project planning --- decision making --- building digitalization, inventorying and building deconstruction
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